A Discrete-time Receding Horizon Adaptive Disturbance Estimator for an Oxgen Converter Gas Recovery Process

This paper proposes an adaptive disturbance estimator for discrete-time systems to estimate both unknown parameters and disturbances simultaneously so as to minimize a receding-horizon performance index. The proposed method uses discrete-time Euler-Lagrange equations in order to derive the proposed adaptive disturbance estimator. A numerical simulation for an oxygen converter gas recovery process shows the efficiency of the proposed method